Embedded Files
I am a data scientist and a Professor in Data Science at the Department of Computer Science, Edge Hill University, UK.
There is much debate on what a data scientist should be.
Data Science is often viewed as a branch of mathematics, which I fully agree with.
A data scientist must be very proficient in mathematics and statistics. S/he needs to think in abstract terms to provide bespoke solutions, which are relevant to specific business needs.
However, theories need to be tested to ensure they bring value, and a fast and efficient approach to prototyping is crucial. The old adage "never be too attached to your theories" has never been more relevant.
Come up with solutions and test them. Be ruthless: if they don’t work, discard them…quickly.
There are many off-the-shelf solutions, which are undoubtedly extremely useful.
With new data created at an unprecedented pace, a data scientist needs to be on the top of the game. Evaluating existing technology whilst being able to produce new approaches and “thinking outside the box” is one of the main components of data science.
Research Interests and Expertise
Research Interests and Expertise
OVERVIEW
OVERVIEW
I was awarded a PhD in Mathematics at Exeter University, UK in 2007. I worked for IBM Research, where I developed an interest focus on Big Data, Data and Text Mining, Artificial Intelligence and Mathematical Modelling. More recent positions include Coventry University, the University of Derby and Edge Hill University.
My experience both in industry and academia has allowed me to develop a strong commitment to innovation, professional practice, and research.
I have led a variety of successful multi-disciplinary consultancy and research projects, during which I have developed novel theoretical solutions applied to specific business scenarios.
I am a member of the BCS and fellow of the HEA.
COMPUTER SKILLS
COMPUTER SKILLS
Extensive experience in creating Big Data solutions and prototypes, in both Windows and UNIX operating systems, using the following languages:
Python
R
Matlab
C++
MySQL
SAS
PROJECTS
PROJECTS
Some consultancy projects that I have led or co-led
Some consultancy projects that I have led or co-led
Consultancy project on event recognition approaches to Industry 4.0 in collaboration with DSM (www.dsm.com)
KTP Project, Country Range Group (2018-2021)
KTP Project, BEC (https://www.becsi.co.uk) (2019 - 2022),
Consultancy project on Cyber Security Issues with leading automotive company (2018). Details not disclosable due to NDA in progress.
Alder Hey Children’s Hospital: “Optimising the Patient’s Journey”. Project to identify behavioural patterns via social media, patients’ feedback and real-time feeds. The aim is to extract actionable information to enhance and optimise patient’s satisfaction whilst improving medical treatment and positively influencing cost-reduction.
Rolls Royce consultancy Project: “Innovation Matrix”. Project focusing on identifying and discovering knowledge and innovation from big data sources.
IT Department, University of Derby: “Predictive Students Admission Tool”. Consultancy project, which developed a scalable and efficient analytics tool to predict and assess students’ enrollment and retention.
Rolls Royce “Smart Data Analysis, Extraction and Visualisation”. This project provided a set of tools to analyse and visualise big data focusing on specific Roll Royce business needs. It also funded a PhD studentship.
Internal project “Learner Analytics” to identify behavioural and sociological pat- terns and trends in university applicants.
Enscite/Bombardier, Data Analysis and visualisation consultancy project.
Risk Collaboratory Research Project (2008-2012). This funded a four year project, sponsored by the Irish Industrial Development Agency (IDA), in collaboration of IBM Watson Research Centre, IBM Zurich and University College Cork. This funded five IBM researchers, on post-doc and a PhD student.
Semantic Discovery and Improved Text Mining Capabilities for Information Retrieval. IBM project to develop and implement an industry solution based on Patent US 8,386,457 B2 [11]
SELECTED PUBLICATIONS
SELECTED PUBLICATIONS
Authored Books:
Authored Books:
Lowndes V, Berry S and Trovati M, Guide to Computational Modelling for Decision Processes - Theory, Algorithms, Techniques and Applications, Springer, 2017
Edited Books
Edited Books
Big-Data Analytics and Cloud Computing, Theory, Algorithms and Applications,Computer Communications and Networks, Springer, 2016
Guide to Security Assurance for Cloud Computing, Computer Communications and Networks, Springer, 2016
Lowndes V, Berry S and Trovati M, Guide to Computational Modelling for Decision Processes - Theory, Algorithms, Techniques and Applications, Springer, 2017
Journals
Journals
Lalit Garg, Sally I McClean, Maria Barton, Brian J Meenan, Georgios Kontonatios, Marcello Trovati, Yannis Konkontzelos, Xiaolong Xu, Mohsen Farid, Evaluating Different Selection Criteria for Phase Type Survival Tree Construction, to appear in Big Data Research Journal 2021
Xiaolong Xu, Lei Zhang, Marcello Trovati, Francesco Palmieri, Eleana Asimakopoulou, Olayinka Johnny, Nik Bessis, PERMS: An efficient rescue route planning system in disasters, to appear in Applied Soft Computing, 2021
Hari Mohan Pandey, Marcello Trovati, Nik Bessis, Statistical exploratory analysis of mask-fill reproduction operators of Genetic Algorithms, Applied Soft Computing, vol. 102, 2021
Xiaolong Xu, Nan Hu, Marcello Trovati, Jeffrey Ray, Francesco Palmieri, Hari Mohan Pandey. DLCD-CCE: A Local Community Detection Algorithm for Complex IoT Networks, IEEE Internet of Things Journal, 2019
Marcello Trovati, Huaizhong Zhang, Jeffrey Ray, Xiaolong Xu. An entropy based approach to real-time information extraction for industry 4.0, IEEE Transactions on Industrial Informatics, 2019
X Xu, H Yuan, P Matthew, J Ray, O Bagdasar, M Trovati. GORTS: genetic algorithm based on one-by-one revision of two sides for dynamic travelling salesman problems, Soft Computing, 2019
Olayinka Johnny and Marcello Trovati. Big data inconsistencies and incompleteness: a literature review, International Journal of Grid and Utility Computing, 2019
Xu X, Hu N, Li T, Trovati M, Palmieri F, Kontonatsios G and Castiglione. A Distributed Temporal Link Prediction Algorithm based on Label Propagation, Future Computer Generation System, 2018
Xu X, Rong H, Pereira E and Trovati M. Predatory Search-based Chaos Turbo Particle Swarm Optimization (PS-CTPSO): a New Particle Swarm Optimisation Algorithm for Web Service Combination Problem, Future Computer Generation System, 2018
Trovati M, Asimakopoulou E, Bessis N, An investigation on human dynamics in enclosed spaces, Computers & Electrical Engineering, Vol. 67, Pages 508-519, 2018
Trovati M, Hayes J, Palmieri F, Bessis N, Automated extraction of fragments of Bayesian networks from textual sources, Applied Soft Computing, Vol. 60, Pages 195-209, 2017
Behadada O, Trovati M, Kontonatsios G, Korkontzelos Y, A Multinomial Logistic Regression Approach for Arrhythmia Detection, International Journal of Distributed Systems and Technologies (IJDST), Vol. 4, Pages 17-33, 2017
Xu X, Rong H, Trovati M, Liptrott M, Bessis N, CS-PSO: Chaotic Particle Swarm Optimization Algorithm for Solving Combinatorial Optimization Problems, Soft Computing, 2016
Pournaras E., Nikolic J., Velasquez P., Trovati M., Bessis N., and Helbing D. Self-regulatory Information Sharing in Participatory Social Sensing. EPJ Data Science, 2016
Shao Y, Trovati M, Shi Q, Angelopoulou O, Asimakopoulou E, and Bessis N. A Hybrid Spam Detection Method Based on Unstructured datasets, Soft Computing, DOI 10.1007/s00500-015-1959-z, 2015
Trovati M. and Bessis N. An Influence Assessment Method based on Co-Occurrence for Topologically Reduced Big Data Sets, Soft Computing, DOI 10.1007/s00500-015-1621-9, 2015
Trovati M. Reduced Topologically Real-World Networks: a Big-Data Approach, International Journal of Distributed Systems and Technologies (IJDST), 2015
Behadada O, Trovati M, Chikh M A and Bessis N. Big Data Based Extraction of Fuzzy Partition Rules for Heart Arrhythmia Detection: a Semi-Automated Approach. Concurrency and Computation: Practice and Experience, DOI: 10.1002/cpe.3428, 2014
Trovati M, Ashwin P and Byott N. Packings induced by piecewise isometries cannot contain the Arbelos. Discrete and Continuous Dynamical Systems, Volume 22:3, 2008
Trovati M and Ashwin P. Tangency properties of a pentagonal tiling generated by a piecewise isometry, Chaos: An Interdisciplinary Journal of Nonlinear Science, 17:4, 2007
Books
Books
Guide to Computational Modelling for Decision Processes - Theory, Algorithms, Techniques and Applications, Springer, 2017
Big-Data Analytics and Cloud Computing, Theory, Algorithms and Applications, Computer Communications and Networks, Springer, 2016
Guide to Security Assurance for Cloud Computing, Computer Communications and Networks, Springer, 2016
Book Chapters
Book Chapters
Trovati M. Some Mathematical Properties of Networks for Big Data’, Big Data and Computational Intelligence in Networking , 2017
Trovati M. An Overview of Some Theoretical Topological Aspects of Big Data, Big-Data Analytics and Cloud Computing, Theory, Algorithms and Applications, The Computer Communications and Networks, Springer, 2016
Trovati M. Extraction of Bayesian Networks from Large Unstructured Datasets, Big-Data Analytics and Cloud Computing, Theory, Algorithms and Applications, The Computer Communications and Networks, Springer, 2016
Johnson A, Holmes P, Craske L, Trovati M, Bessis N, and Larcombe P, Two Case Studies based on Large Unstructured Sets, Computer Communications and Networks, Springer, 2016
Trovati M. Mining Social Media: Architecture, Tools and Approaches to Detect Criminal Activity, Application of Big Data for National Security, 1st Edition, 2015
Conference Papers
Conference Papers
Soussan T and Trovati M. Social Data Misuse, Proceedings of the International Conference on Intelligent Networking and Collaborative Systems, 2021
Awan S and Trovati M. Deep learning approaches to detect real time events recognition in smart manufacturing systems - A survey, Proceedings of the International Conference on Intelligent Networking and Collaborative Systems, 2021
Soussan T and Trovati M. Improved sentiment urgency emotion detection for business intelligence, Proceedings of the International Conference on Intelligent Networking and Collaborative Systems, 2020
Johnny O and Trovati M. Artificial Intuition: A New Paradigm. To appear in the Proceedings of the International Conference on Intelligent Networking and Collaborative Systems, 2020
Johnny O, Ray J and Trovati M. Towards a Computational Model of Artificial Intuition and Decision Making. Proceedings of the International Conference on Intelligent Networking and Collaborative Systems, 2019
Soussan T and Trovati M. Twitter Analysis for Business Intelligence. Proceedings of the International Conference on Intelligent Networking and Collaborative Systems, 2019
Hewage P, Behera A, Trovati M, and Pereira E, Long-Short Term Memory for an Effective Short-Term Weather Forecasting Model Using Surface Weather Data, Proceedings of AIAI, 2019
Behadada O, Trovati M, Chick MA, Bessis, N and Korkontzelos Y. Logistic Regression Multinomial for Arrhythmia Detection, Second International Workshop on Data-driven Self-regulating Systems (DSS-2016), 2016
Trovati M, Hodgsons P, Hargreaves C, Baker A D and Liu L. Dependency Networks Extractions from Textual Sources in Criminology: An Initial Implementation, IEEE BigDataService 2016, 2016
Panneerselvam J. , Liu L., Antonopoulos A. and Trovati M. Latency-Aware Empirical Analysis of the Workloads for Reducing Excess Energy Consumptions at Cloud Datacentres, IEEE SOSE 2016
Trovati M., Castiglione A., Bessis N. and Hill R. Kuramoto Model Based Approach to Extract and Assess Influence Relations, Proceedings of the 7th International Symposium on Computational Intelligence and Intelligent Systems, ISICA 2015, Guangzhou, 2015
AhmedM, Liu L,Yuan B, Trovati M and Hardy J. ContextAwareServiceDiscovery and Selection in Decentralized Environments, Proceedings of IBDS-2015, 2015
Johnson A, Holmes P, Craske L, Trovati M, Bessis N and Larcombe P. A Computational Objectivity in Depression Assessment for Unstructured Large Datasets, Proceedings of IBDS-2015, 2015
Whittington N, Liu L, Yuan B, and Trovati M. Investigation of Energy Efficiency on Cloud Computing, Proceedings of IBDS-2015, 2015
Trovati M, Trovati J, Larcombe P, and Lu L. A Semi-Automated Assessment of the Direction of Influence Relations from Semantic Networks: A Case Study in Maths Anxiety, Proceedings of IBDS-2015, 2015
Trovati M, Hill R, Bessis N. A Non-Genuine Message Detection Method based on Unstructured datasets, International Conference on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC), 2015
Omosebi O, Sotiriadis S, Asimakopoulou E, Bessis N, Trovati M, Hill R. Monitoring Live Big Data for Disaster Management, Proceedings of CIDM-2015, 2015
Udeagwu C, Sotiriadis S, Asimakopoulou E, Bessis N, Trovati M. Analysis of Techniques for Visualizing Security Risks and Threats, Proceedings of CIDM-2015, 2015
Trovati M, Asimakopoulou E, Bessis N. Topology Reduction and Probabilistic In- formation Extraction for Large Data-Sets: A Disaster Management Case Study, ICT-DM-2015, 2015
Trovati M, Hodgson P, Hargreaves C. A preliminary Investigation on a Semi- Automatic Criminology Intelligence Extraction Method: A Big Data Approach, Proceedings of INCoS 2015
Trovati M. An Evaluation of a Probability and Influence Extraction Method, Proceedings of INCoS 2015
Behadada O, Trovati M, Chikh M A, Fuzzy Partition Rules for Heart Arrhythmia Detection, Proceedings of INCoS 2015
Trovati M, Larcombe P, Bessis N, Some Novel Mathematical Algorithms for Con- cepts and Relations Extraction from Big Data, IMA Conference on the Mathematical Challenges of Big Data, 2014
Voorhis D, Trovati M, Self R, Designing Big Data Analytics Undergraduate and Postgraduate Programmes for Employability, IBM Big Data and Analytics Educational Conference 2014
Trovati M, Bessis N and Asimakopoulou E. An Analytical Tool to Map Big Data to Networks with Reduced Topologies. Proceedings of INCoS 2014, pp: 411 414, 2014.
Trovati M, Bessis N, Huber A, Zelenkauskaite A and Asimakopoulou E. Extraction, Identification, and Ranking of Network Structures from Data Sets. Proceedings of the Eighth International Conference on Complex, Intelligent and Software Intensive Systems (CISIS), pages 331 337, 2014.
Trovati M and Brady J. Towards an Automated Approach to Extract and Compare Fictional Networks: An Initial Evaluation. Proceedings of DEXA’14 Workshops, 2014
Trovati M and Bagdasar O. Influence Discovery in Semantic Networks: An Initial Approach UKSIM ’14 Proceedings of the 2014 UKSim-AMSS 16th International Conference on Computer Modelling and Simulation, pages 154-158, 2014
Trovati M, Natural Language Processing Dynamics in Risk Management, IBM Internal Paper. Presented at the 2011 IBM Risk Management Workshop, Dublin, August 2011.
Trovati M, Spaccassassi C and White B Automatically Constructing Bayesian Be- lief Networks using Text mining Techniques. DIMACS Workshop on Algorithmic Medical Decision Conference, The Cancer Institute of New Jersey, May 2011
Patents
Patents
McCloskey D J, Trovati M ,and Zimmer C,Using a Dynamically-Generated Content-Level Newsworthiness Rating to Provide Content Recommendations. US 8,386,457 B2, 2013
In the Press
In the Press
Big data: the next big thing in project management, 2016. Available here
How an AI trained to read scientific papers could predict future discoveries. The Conversation, 2019. Available here
Links
Links
Other Websites
Other Websites
Curriculum Vitae
Curriculum Vitae
QUALIFICATIONS
QUALIFICATIONS
PG Cert Teaching in HE, Coventry University 2013
PhD in Mathematics, University of Exeter, January 2003 - July 2007.
MA Single Honours in Mathematics, First Class, University of Aberdeen, September 1998 - July 2002.
PROFESSIONAL RECOGNITION
PROFESSIONAL RECOGNITION
Fellow of the HEA, 2013
Member of the British Computer Society
SCHOLARLY ACTIVITIES
SCHOLARLY ACTIVITIES
Editor of special issue on Cloud Computing and Big Data applications, IJDST, 2015
Member of the editorial board of:
The International Journal of Distributed Systems and Technology
The Asia-Pacific Journal of Neural Networks and Its Applications (AJNNIA)
Editor or co-editor of the following special issues:
Data Science for Industry 4.0. Theory and Applications, Sci MDPI, 2020
Theory, Algorithms, and Applications of Big Data Science, IJDST, 2017
Services Computing, Tsinghua Science and Technology Journal, 2016
Cloud Computing and Big Data applications, IJDST, 2015
Track Co-chair: Data Modelling, Visualization and Representation Tools, part of the 5th and 6th International Conference on Emerging Internetworking, Data and Web Technologies Conferences (EIDWT-2016,EIDWT-2017), 2016, 2017
Track Chair: Intelligent Big Data Systems , In conjunction with the IEEE BigDataService 2016 Conference, Oxford 2016
Workshops and Conferences Organised
Workshops and Conferences Organised
Sixth Workshop on Theory, Algorithms and Applications of Big Data Science, in conjunction with INCoS 2020, Victoria, Canada
Fifth International Workshop on Theory, Algorithms and Applications of Big Data Science, in conjunction with INCoS 2019, Oita University, Japan
Fourth International Workshop on Theory, Algorithms and Applications of Big Data Science, in conjunction with INCoS 2018, Bratislava, Slovakia
Third Workshop on Theory, Algorithms and Applications of Big Data Science, in conjunction with INCoS 2017, Toronto, Canada
Second Workshop on Theory, Algorithms and Applications of Big Data Science, in conjunction with INCoS 2016, Czech Republic
Co-organiser of the Two Day Conference on Theoretical and Computational Discrete Mathematics, University of Derby, 2016
Workshop on the Applications of Big Data Analytics, in conjunction with the 13th IEEE International Conference on Dependable, Autonomic and Secure Computing (DASC- 2015)
Workshop on Theory, Algorithms and Applications of Big Data Science, in conjunction with INCoS 2015, Taipei
Second IBM Risk Management Collaboratory Workshop (2011), Dublin Research Lab
First IBM Risk Management Collaboratory Workshop (2010), University College Cork
RELEVANT POSITIONS
RELEVANT POSITIONS
Department of Computer Science, Edge Hill University, Professor in Data Science (2020 - present) and Reader in Computer Science (2016 - 2020)
Active researcher in Data Science, AI and mathematical modelling:
Successful record of consultancy work and research proposals
High quality research output
Leading multi-disciplinary research in collaboration with a variety of departments and industrial partners
Department of Computing and Mathematics, University of Derby, Senior Lecturer in Mathematics (2013 - 2016)
Leading the developing and designing of UG and PG modules and programmes
Programme leader of the MSc in Big Data Analytics
Department of Mathematics and Control Engineering, Coventry University, Assistant Lecturer (November 2011, July 2013)
Module leader of several UG modules
Responsible for scientific programming training offered as part of external training courses, and other consultancy based projects
IBM Research, Dublin Research Lab, Dublin Technology Campus, Researcher (September 2008, November 2011)
Main investigator for Risk Collaboratory Big Data research project, in collaboration with IBM Zurich Research Centre and University College Cork
Technical lead for Text mining strand of IBM research project on extraction of Bayesian networks from text
Co-investigator of Data Centre research project, aiming to model and optimise energy consumption and temperature of data centres.
Co-investigator of a research project on traffic modelling which targeted real-time data from areas of Dublin.
Mentor and joint supervisor of two students at Dublin Institute of Technology and Trinity studying towards an MRes degree.
Portrait Software, Henley-on-Thames, UK, Software Developer and Algorithm Tester (November 2007 - July 2008)
Technical lead in the investigation, designing, implementation and testing of specific predictive models used by the Quadstone System which statistically analyses Big Data
MT_New_CV_July.pdfDetailed CV
Contact Details
Contact Details
Office
Office
Room TH-F14
Department of Computer Science
Edge Hill University
St Helens Road
Ormskirk
Lancashire
L40 4QP
Emails
Emails
Work: trovatim@edgehill.ac.uk
Personal: mtrovati@gmail.com
Google Sites
Report abuse